Bolin Ding
Artificial Intelligence · 2007–2023
A researcher in the Science corpus: 17 papers; trusts 175 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 362 citations into it; #4,912 of 35,345 by trust here, #4,370 by citations
- Privacy & Security — 115 citations into it; #145 of 709 by trust here, #276 by citations
- Information Systems — 93 citations into it; #8,427 of 8,771 by trust here, #1,740 by citations
- Natural Language Processing — 69 citations into it
- Computer Vision and Pattern Recognition — 68 citations into it
- Statistics and Probability — 35 citations into it
- Signal Processing — 34 citations into it; #6,426 of 7,572 by trust here, #3,784 by citations
- Management Science and Operations Research — 31 citations into it; #1,426 of 11,946 by trust here, #1,507 by citations
Whom Bolin Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Frank McSherry
- John C. Duchi
- Raef Bassily
- Kobbi Nissim
- Ú. Erlingsson
- Adam D. Smith
- Geoffrey E. Hinton
- Diederik P. Kingma
- Michael I. Jordan
Who trusts Bolin Ding overall
- Tianhao Wang
- Jayadev Acharya
- Badih Ghazi
- Borja Balle
- Graham Cormode
- Vitaly Feldman
- Tejas D. Kulkarni
- Peter Kairouz
- Jaewoo Lee
- Jinyuan Jia
Papers from Bolin Ding's perspective
Ordered by how strongly the researchers Bolin Ding trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search (2020) — 112 citations
- Collecting Telemetry Data Privately (2017) — 791 citations
- Simple and Deep Graph Convolutional Networks (2020) — 1,998 citations
- Blowfish privacy: tuning privacy-utility trade-offs using policies (2013) — 212 citations
- Contrastive Learning for Sequential Recommendation (2022) — 559 citations
- Finding Top-k Min-Cost Connected Trees in Databases (2007) — 378 citations
- Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation (2023) — 679 citations
- Towards Universal Sequence Representation Learning for Recommender Systems (2022) — 355 citations
- Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation (2021) — 62 citations
- Answering Multi-Dimensional Analytical Queries under Local Differential Privacy (2019) — 109 citations
- Practical and Robust Privacy Amplification with Multi-Party Differential Privacy (2019) — 11 citations
- Improving utility and security of the shuffler-based differential privacy (2019) — 40 citations
- An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors (2018) — 35 citations
- Online mobile Micro-Task Allocation in spatial crowdsourcing (2016) — 299 citations
- Differentially private data cubes: optimizing noise sources and consistency (2011) — 163 citations
- Mining periodic behaviors for moving objects (2010) — 322 citations
- Swarm (2010) — 366 citations